Identifying and evaluating community structure in complex networks

  • Authors:
  • Karsten Steinhaeuser;Nitesh V. Chawla

  • Affiliations:
  • University of Notre Dame, Department of Computer Science and Engineering, Interdisciplinary Center for Network Science and Applications (iCeNSA), Notre Dame, IN 46556, USA;University of Notre Dame, Department of Computer Science and Engineering, Interdisciplinary Center for Network Science and Applications (iCeNSA), Notre Dame, IN 46556, USA

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2010

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Abstract

We compare and evaluate different metrics for community structure in networks. In this context we also discuss a simple approach to community detection, and show that it performs as well as other methods, but at lower computational complexity.